Advanced Topics in Predictive Analytics Draft Syllabus
Learning Outcomes The Candidate will be able to: a) Explain, fit, evaluate, and make predictions with each of the following models: • Additive models • Linear mixed models • Neural networks b) Apply Bayesian techniques to predictive models c) Compare model results with those from linear and tree-based methods.
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